{"id":"W6958602745","doi":"10.6084/m9.figshare.825657.v1","title":"Dioxins, furans and non-<i>ortho</i>-PCBs in Canadian total diet foods 1992–1999 and 1985–1988","year":2013,"lang":"en","type":"dataset","venue":"Figshare","topic":"Sesame and Sesamin Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dibenzofuran; Fish <Actinopterygii>; Food intake; Milk products; Food contaminant","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004542806,0.001342632,0.0009890156,0.00529523,0.001315609,0.001266191,0.001781816,0.0005995627,0.005103427],"category_scores_gemma":[0.002226802,0.0005493134,0.001005432,0.019455,0.0003694346,0.000374142,0.0007404403,0.0005942437,0.001902638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01910106,"about_ca_system_score_gemma":0.01619827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9891135,"about_ca_topic_score_gemma":0.9930899,"domain_scores_codex":[0.9992717,0.00002308786,0.00005454386,0.0001410538,0.000359274,0.0001503067],"domain_scores_gemma":[0.9981906,0.0001130304,0.0002567608,0.0001040836,0.00119278,0.0001426995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009858707,0.0001069875,0.2095219,0.004527033,0.001129884,0.000388413,0.0004197033,0.00480429,0.001262079,0.001634777,0.7426654,0.03255354],"study_design_scores_gemma":[0.0001585047,0.00002259878,0.7071916,0.0003408153,0.0002591602,0.0001265124,0.0003326453,0.001193032,0.0009197221,0.0001716313,0.2892288,0.00005495105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01005722,0.0005141443,0.0000501674,0.00006164455,0.000009689622,0.00001578831,0.9875219,0.00007320751,0.00169619],"genre_scores_gemma":[0.01969223,0.00082623,0.0003121707,0.00004836915,0.00000597156,0.00004917539,0.976716,0.00001817658,0.002331721],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01910106,"threshold_uncertainty_score":0.1385885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03795497810070692,"score_gpt":0.251822122221023,"score_spread":0.2138671441203161,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}